Web Reference: It states that the system is entirely characterized by its response to an impulse function δ(t), in the sense that the forced response to any arbitrary input u(t) may be computed from knowledge of the impulse response alone. The convolution operation is often written using the symbol : ⊗ y(t) = u(t) h(t) = ⊗ This process of adding up a set of scaled and shifted copies of one vector (here the impulse response), using the values of another vector (here the input) as the scaling values, is convolution -- at least this is one way to define it. Impulse response of a discrete system and what it means. How impulse response can be used to determine the output of the system given its input. The idea behind convolution. How convolution can be applied to moving average filter and why it is called a Finite Impulse Response (FIR) filter.
YouTube Excerpt: The Dirac delta function, the Unit
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